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Building a Modern Rate Limiter and DDoS Protection Library for Python

zlynv 2026年07月29日 11:31 5 次阅读 来源:Dev.to

Rate limiting is one of those features every production API eventually needs. Whether you're building a public REST API, a WebSocket service, or an authentication endpoint, you'll eventually face problems like: Credential stuffing Brute-force attacks API abuse Bots scraping your endpoints Unexpected traffic spikes Most applications solve this with a simple request counter. But after building several APIs with Django, FastAPI, and Flask, I realized that production traffic requires much more than "X requests per minute." That observation led me to build drogue , an open-source Python library for rate limiting and traffic protection. The Problem Traditional rate limiting is straightforward: Allow 100 requests per minute. This works well for many cases, but real-world applications quickly expose its limitations. For example: A distributed attack can remain below the per-IP limit. A bot can rotate through proxies. WebSocket connections often require different handling than HTTP requests. Different endpoints need different protection strategies. I wanted a system that could go beyond simple request counting. Design Goals From the beginning, I focused on a few principles. 1. Clean framework integration I didn't want endpoint functions filled with framework-specific plumbing. Instead, the library should feel like a natural extension of the framework. from fastapi import FastAPI from drogue.adapters.fastapi import DrogueLimiter app = FastAPI () limiter = DrogueLimiter ( app , default_limits = [ " 100/minute " ]) @app.get ( " /users " ) @limiter.limit ( " 10/minute " ) async def users (): return { " status " : " ok " } No additional request objects. No complicated middleware configuration. Minimal boilerplate. Multiple Rate Limiting Algorithms Different applications require different algorithms. Instead of supporting only one approach, drogue includes multiple options: Token Bucket Sliding Window Fixed Window Each has different trade-offs between accuracy, burst handling, and

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